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- Technical metadata in data warehouse123:
- Specifies how exactly the data is structured and stored in files or databases.
- Gives knowledge about the format and structure of the data.
- Examples of technical metadata include column names, database system names, and data models.
- Is usually less structured than business metadata.
- Is shared between business users and IT staff.
- Is maintained for documentation purposes.
- Provides information on predefined queries.
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.The technical metadata specifies how exactly the data is structured and stored in files or databases. This metadata allows applications and tools to access and manipulate the data. The business data, expressed through modeling concepts and data constraints, help in understanding the data and their usage.arxiv.org/pdf/cs/0110020.pdfTechnical Metadata: Technical metadata gives knowledge about the format and structure of the data. Examples of technical metadata include column names, database system names, and data models.www.astera.com/type/blog/metadata-in-data-wareh…Technical metadata is usually less structured than business metadata. Maintaining metadata in a modern data warehouse is just for documentation. Metadata provides information on predefined queries. Business metadata comes from sources more varied than those for technical metadata. Technical metadata is shared between business users and IT staff.www.oreilly.com/library/view/data-warehousing-fun… - People also ask
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Now, let’s dive into a more detailed and actionable strategy for maximizing the value of your data in a data warehouse using metadata: 1. Establish metadata standards and enforce them 2. Create and maintain a data catalog 3. Leverage metadata for data lineage 4. Use metadata for data governance and … See more
Metadata is an essential component of data management and is commonly referred to as “data about data.” It typically falls into three main categories: 1. … See more
Now that we have a basic understanding of metadata types, let us now look into examples for each of them in a data warehouse context to have a better idea. 1. … See more
Here’s how metadata is physically stored in a data warehouse: 1. Metadata repository 2. Table structure for metadata storage 3. Data types and attributes for … See more
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